| N_sites | N_counts | N_detections | rep_period | iterations | burnin | thin |
|---|---|---|---|---|---|---|
| 127 | 221 | 129 | 7 days | 120000 | 20000 | 10 |
| Yr | 2016 | 2017 | 2018 | 2019 | 2020 |
| sites | 19 | 31 | 19 | 32 | 26 |
| detections | 15 | 31 | 14 | 26 | 43 |
| N.dot.model | 10 | 16 | 7 | 8 | 22 |
| model | description | WAIC | N.total.est |
|---|---|---|---|
| fm7 | counts | 4.060804 | 127 |
| fm5 | jdt + jdtSq | 830.680975 | 59 |
| fm6 | lure + jdt + jdtSq | 831.757572 | 62 |
| fm2 | jdt | 857.470979 | 61 |
| fm4 | lure + jdt | 858.315210 | 67 |
| fm3 | lure | 859.204048 | 60 |
| fm1 | dot | 865.500876 | 63 |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| p[1] | NA | 1486 | 0.052 | 0.046 | 0.01 | 0.09 | 0 | 0.9977 |
| p[2] | NA | 4787 | 0.076 | 0.07 | 0.04 | 0.11 | 0 | 1.001 |
| p[3] | NA | 4902 | 0.053 | 0.047 | 0.02 | 0.08 | 0 | 1.001 |
| p[4] | NA | 7512 | 0.124 | 0.119 | 0.07 | 0.17 | 0 | 1.001 |
| p[5] | NA | 4250 | 0.064 | 0.062 | 0.04 | 0.09 | 0 | 1.001 |
| lambda[1] | NA | 162 | 1.122 | 0.566 | 0.22 | 1.65 | 0 | 1.0013 |
| lambda[2] | NA | 5123 | 0.752 | 0.637 | 0.37 | 1.11 | 0 | 1.001 |
| lambda[3] | NA | 3172 | 0.496 | 0.342 | 0.13 | 0.81 | 0 | 1.0009 |
| lambda[4] | NA | 9210 | 0.271 | 0.22 | 0.10 | 0.42 | 0 | 1.001 |
| lambda[5] | NA | 4293 | 0.991 | 0.867 | 0.51 | 1.44 | 0 | 1.001 |
| N[66] | NA | 5684 | 1.201 | err | 1.00 | 2.00 | err | err |
| N[100] | NA | 10000 | 0.002 | err | 0.00 | 0.00 | err | err |
| N[81] | NA | 9382 | 1.024 | err | 1.00 | 1.00 | err | err |
| N[68] | NA | 4898 | 1.478 | 1 | 1.00 | 2.00 | 0 | 1.0001 |
| N[33] | NA | 7970 | 1.143 | err | 1.00 | 2.00 | err | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha | jdt | 9017 | 0.206 | 0.198 | 0.05 | 0.38 | 0.13548 | 0.9789 |
| alpha0 | NA | 4853 | -2.666 | -2.654 | -2.91 | -2.42 | 0 | 1.001 |
| lambda[1] | NA | 9430 | 0.572 | 0.485 | 0.24 | 0.87 | 0 | 1.001 |
| lambda[2] | NA | 8256 | 0.777 | 0.726 | 0.42 | 1.10 | 0 | 1.001 |
| lambda[3] | NA | 10000 | 0.399 | 0.324 | 0.14 | 0.63 | 0 | 1.001 |
| lambda[4] | NA | 8344 | 0.366 | 0.335 | 0.15 | 0.55 | 0 | 1.001 |
| lambda[5] | NA | 7705 | 0.961 | 0.857 | 0.55 | 1.35 | 0 | 1.001 |
| N[64] | NA | 10000 | 0.034 | err | 0.00 | 0.00 | err | err |
| N[27] | NA | 9541 | 2.016 | 2.002 | 1.00 | 3.00 | 0 | 1.0006 |
| N[75] | NA | 10000 | 0.064 | err | 0.00 | 0.00 | err | err |
| N[30] | NA | 9529 | 1.903 | 2.002 | 1.00 | 3.00 | 0 | 1.0005 |
| N[101] | NA | 9535 | 0.016 | err | 0.00 | 0.00 | err | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha | lure | 9307 | -0.119 | -0.106 | -0.31 | 0.05 | 0.60432 | 0.856 |
| alpha0 | NA | 4900 | -2.643 | -2.64 | -2.88 | -2.39 | 0 | 1.001 |
| lambda[1] | NA | 9201 | 0.575 | 0.496 | 0.24 | 0.88 | 0 | 1.001 |
| lambda[2] | NA | 7998 | 0.746 | 0.693 | 0.41 | 1.05 | 0 | 1.001 |
| lambda[3] | NA | 9341 | 0.388 | 0.333 | 0.14 | 0.62 | 0 | 1.001 |
| lambda[4] | NA | 8568 | 0.368 | 0.325 | 0.16 | 0.56 | 0 | 1.001 |
| lambda[5] | NA | 7748 | 0.960 | 0.895 | 0.54 | 1.36 | 0 | 1.001 |
| N[9] | NA | 9611 | 1.133 | err | 1.00 | 2.00 | err | err |
| N[105] | NA | 8904 | 2.031 | err | 1.00 | 3.00 | err | err |
| N[115] | NA | 9512 | 0.089 | err | 0.00 | 0.00 | err | err |
| N[83] | NA | 10000 | 0.094 | err | 0.00 | 0.00 | err | err |
| N[42] | NA | 10000 | 0.271 | err | 0.00 | 1.00 | err | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha[1] | lureDays | 5624 | -0.298 | -0.287 | -0.50 | -0.09 | 0.06692 | 0.9917 |
| alpha[2] | julianDt | 6353 | 0.334 | 0.332 | 0.14 | 0.51 | 0.01151 | 0.9997 |
| alpha0 | NA | 3381 | -2.782 | -2.758 | -3.06 | -2.51 | 0 | 1.001 |
| lambda[1] | NA | 9381 | 0.529 | 0.451 | 0.23 | 0.82 | 0 | 1.001 |
| lambda[2] | NA | 7768 | 0.750 | 0.712 | 0.42 | 1.08 | 0 | 1.001 |
| lambda[3] | NA | 9556 | 0.410 | 0.362 | 0.15 | 0.65 | 0 | 1.001 |
| lambda[4] | NA | 7727 | 0.382 | 0.32 | 0.16 | 0.58 | 0 | 1.001 |
| lambda[5] | NA | 4577 | 1.228 | 1.118 | 0.68 | 1.78 | 0 | 1.001 |
| N[58] | NA | 9630 | 0.040 | err | 0.00 | 0.00 | err | err |
| N[93] | NA | 10000 | 0.064 | err | 0.00 | 0.00 | err | err |
| N[71] | NA | 9154 | 0.019 | err | 0.00 | 0.00 | err | err |
| N[101] | NA | 9680 | 0.026 | err | 0.00 | 0.00 | err | err |
| N[99] | NA | 10000 | 0.034 | err | 0.00 | 0.00 | err | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha[1] | julianDt | 2780 | -0.568 | -0.553 | -0.84 | -0.31 | 0.00519 | 1.0001 |
| alpha[2] | julianDtSq | 2761 | 0.891 | 0.912 | 0.63 | 1.15 | 0 | 1.001 |
| alpha0 | NA | 4654 | -2.746 | -2.737 | -3.00 | -2.49 | 0 | 1.001 |
| lambda[1] | NA | 7317 | 0.701 | 0.577 | 0.29 | 1.06 | 0 | 1.001 |
| lambda[2] | NA | 8674 | 0.644 | 0.624 | 0.36 | 0.93 | 0 | 1.001 |
| lambda[3] | NA | 8596 | 0.422 | 0.35 | 0.15 | 0.67 | 0 | 1.001 |
| lambda[4] | NA | 9160 | 0.331 | 0.285 | 0.15 | 0.51 | 0 | 1.001 |
| lambda[5] | NA | 7130 | 0.988 | 0.923 | 0.56 | 1.38 | 0 | 1.001 |
| N[41] | NA | 10000 | 0.055 | err | 0.00 | 0.00 | err | err |
| N[42] | NA | 10000 | 0.255 | err | 0.00 | 1.00 | err | err |
| N[4] | NA | 9608 | 0.260 | err | 0.00 | 1.00 | err | err |
| N[37] | NA | 10000 | 1.140 | err | 1.00 | 2.00 | err | err |
| N[49] | NA | 9635 | 0.040 | err | 0.00 | 0.00 | err | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha[1] | lureDays | 5327 | -0.211 | -0.208 | -0.41 | -0.01 | 0.26016 | 0.9544 |
| alpha[2] | julianDt | 2609 | -0.431 | -0.454 | -0.72 | -0.14 | 0.06676 | 0.991 |
| alpha[3] | julianDtSq | 2765 | 0.854 | 0.835 | 0.60 | 1.12 | 0 | 1.001 |
| alpha0 | NA | 3934 | -2.819 | -2.823 | -3.08 | -2.54 | 0 | 1.001 |
| lambda[1] | NA | 7882 | 0.635 | 0.545 | 0.27 | 0.97 | 0 | 1.001 |
| lambda[2] | NA | 8333 | 0.631 | 0.582 | 0.34 | 0.90 | 0 | 1.001 |
| lambda[3] | NA | 8832 | 0.423 | 0.351 | 0.15 | 0.67 | 0 | 1.001 |
| lambda[4] | NA | 9285 | 0.340 | 0.292 | 0.14 | 0.51 | 0 | 1.001 |
| lambda[5] | NA | 5369 | 1.158 | 1.056 | 0.64 | 1.67 | 0 | 1.001 |
| N[112] | NA | 8911 | 0.214 | err | 0.00 | 1.00 | err | err |
| N[79] | NA | 10000 | 1.078 | err | 1.00 | 1.00 | err | err |
| N[87] | NA | 10000 | 1.676 | 1 | 1.00 | 2.00 | 0 | 1.0004 |
| N[50] | NA | 9679 | 0.038 | err | 0.00 | 0.00 | err | err |
| N[55] | NA | 10000 | 0.053 | err | 0.00 | 0.00 | err | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha | counts | 8949 | 6.936 | 6.22 | 4.88 | 8.89 | 0 | 1.001 |
| alpha0 | NA | 10220 | -7.500 | -7.058 | -9.12 | -5.89 | 0 | 1.001 |
| lambda[1] | NA | 10000 | 0.986 | 0.861 | 0.44 | 1.50 | 0 | 1.001 |
| lambda[2] | NA | 9384 | 0.983 | 0.907 | 0.55 | 1.40 | 0 | 1.001 |
| lambda[3] | NA | 8756 | 0.970 | 0.792 | 0.34 | 1.53 | 0 | 1.0009 |
| lambda[4] | NA | 6875 | 0.961 | 0.853 | 0.39 | 1.50 | 0 | 1.001 |
| lambda[5] | NA | 10000 | 0.986 | 0.932 | 0.57 | 1.38 | 0 | 1.001 |
| N[103] | NA | 0 | 1.000 | err | 1.00 | 1.00 | err | err |
| N[76] | NA | 9245 | 0.939 | 0 | 0.00 | 2.00 | 1 | err |
| N[27] | NA | 0 | 1.000 | err | 1.00 | 1.00 | err | err |
| N[96] | NA | 9341 | 0.940 | 0 | 0.00 | 2.00 | 1 | err |
| N[58] | NA | 9344 | 0.950 | 0 | 0.00 | 2.00 | 1 | err |
## Warning in cor(X, use = "pairwise.complete.obs"): the standard deviation is zero
## Warning: Removed 50 rows containing missing values (geom_bar).
## Warning in cor(X, use = "pairwise.complete.obs"): the standard deviation is zero
## Warning: Removed 50 rows containing missing values (geom_bar).